DataRobot Model Deployment

This intensive session covers the benefits and technical aspects of a wide range of methods to deploy machine learning models developed in DataRobot. Intended for experienced users of DataRobot, this session coaches you on the best ways to operationalize your DataRobot models in manual, automated, batch, and real-time applications to maximize the benefits of predictive modeling. Some examples will be in the Python programming language so prior Python experience is helpful.

Class outline

1. DataRobot Architecture and API

  • Building models using the API
  • DataRobot API
  • Predictions API
  • Shared Cloud
  • DataRobot Enterprise
  • DataRobot Hadoop

2. Deployment Options

  • Drag and Drop
  • DataRobot API
  • Prediction API
  • Batch Scoring Script
  • DataRobot Prime
  • Coefficient Export
  • DataRobot Code Generation
  • Spark Deployment

3. Monitoring

  • Calendar Refresh
  • Performance Refresh
  • Population Refresh
  • 1. DataRobot Architecture and API
    • Building models using the API
    • DataRobot API
    • Predictions API
    • Shared Cloud
    • DataRobot Enterprise
    • DataRobot Hadoop
  • 2. Deployment Options
    • Drag and Drop
    • DataRobot API
    • Prediction API
    • Batch Scoring Script
    • DataRobot Prime
    • Coefficient Export
    • DataRobot Code Generation
    • Spark Deployment
  • 3. Monitoring
    • Calendar Refresh
    • Performance Refresh
    • Population Refresh
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    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant


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